METHOD FOR AMALYZING MEDICAL DATA USING NEURAL NET LogNNet Russian patent published in 2021 - IPC A61B5/00 G16H10/00 G06Q50/00 

FIELD: medicine.

SUBSTANCE: invention relates to medicine and can be used in systems making medical decisions, remote Internet and telemedicine. Proposed is a method for analysis of medical data using neural network LogNNet and includes operations for defining training, validation and test samples, balancing of training data sampling for order and number of examples for each class, two-stage training of the LogNNet network, and testing the model on test data. Training of LogNNet is performed in two nested iterations. The internal iteration trains the output classifier of the LogNNet by the inverse error propagation method on the training sample, external iteration optimizes parameters of the chaotic display of the LogNNet reservoir on the validation sample. The reservoir matrix is filled with numbers generated by a chaotic display.

EFFECT: invention provides calculation of risk factors on the presence of the disease based on patient’s medical indicators of health, for example, prediction of the presence of COVID-19 or the assessment of peripheral risk, as well as the introduction of artificial intelligence in medical peripheral devices of the Internet of things with low-resourced RAM.

3 cl, 6 dwg